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Flowering resources distract pollinators from crops : Model predictions from landscape simulations

Nicholson, Charlie C. ; Ricketts, Taylor H. ; Koh, Insu ; Smith, Henrik G. LU ; Lonsdorf, Eric V. and Olsson, Ola LU (2019) In Journal of Applied Ecology 56(3). p.618-628
Abstract

Enhancing floral resources is a widely accepted strategy for supporting wild bees and promoting crop pollination. Planning effective enhancements can be informed with pollination service models, but these models should capture the behavioural and spatial dynamics of service-providing organisms. Model predictions, and hence management recommendations, are likely to be sensitive to these dynamics. We used two established models of pollinator foraging to investigate whether habitat enhancement improves crop visitation; whether this effect is influenced by pollinator foraging distance and landscape pattern; and whether behavioural detail improves model predictions. The more detailed central place foraging model better predicted variation in... (More)

Enhancing floral resources is a widely accepted strategy for supporting wild bees and promoting crop pollination. Planning effective enhancements can be informed with pollination service models, but these models should capture the behavioural and spatial dynamics of service-providing organisms. Model predictions, and hence management recommendations, are likely to be sensitive to these dynamics. We used two established models of pollinator foraging to investigate whether habitat enhancement improves crop visitation; whether this effect is influenced by pollinator foraging distance and landscape pattern; and whether behavioural detail improves model predictions. The more detailed central place foraging model better predicted variation in bee visitation observed between habitat types, because it includes optimized trade-offs between patch quality and distance. Both models performed well when predicting visitation rates across broader scales. Using real agricultural landscapes and simulating habitat enhancements, we show that additional floral resources can have diverging effects on predicted crop visitation. When only co-flowering resources were added, optimally foraging bees concentrated in enhancements to the detriment of crop pollination. For both models, adding nesting resources increased crop visitation. Finally, the marginal effect of enhancements was greater in simple landscapes. Synthesis and applications. Model results help to identify the conditions under which habitat enhancements are most likely to increase pollination services in agriculture. Three design principles for pollinator habitat enhancement emerge: (a) enhancing only flowers can diminish services by distracting pollinators away from crops, (b) providing nesting resources is more likely to increase bee populations and crop visitation and (c) the benefit of enhancements will be greatest in landscapes that do not already contain abundant habitat.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
agriculture, bees, central place foraging, ecosystem services, habitat enhancements, pollination, pollinator, pollinator habitat
in
Journal of Applied Ecology
volume
56
issue
3
pages
618 - 628
publisher
John Wiley and Sons
external identifiers
  • scopus:85060948754
ISSN
0021-8901
DOI
10.1111/1365-2664.13333
language
English
LU publication?
yes
id
b8cec9b2-9747-4f23-bf7c-d9aff8f17933
date added to LUP
2019-02-12 13:57:55
date last changed
2021-01-19 02:12:07
@article{b8cec9b2-9747-4f23-bf7c-d9aff8f17933,
  abstract     = {<p>Enhancing floral resources is a widely accepted strategy for supporting wild bees and promoting crop pollination. Planning effective enhancements can be informed with pollination service models, but these models should capture the behavioural and spatial dynamics of service-providing organisms. Model predictions, and hence management recommendations, are likely to be sensitive to these dynamics. We used two established models of pollinator foraging to investigate whether habitat enhancement improves crop visitation; whether this effect is influenced by pollinator foraging distance and landscape pattern; and whether behavioural detail improves model predictions. The more detailed central place foraging model better predicted variation in bee visitation observed between habitat types, because it includes optimized trade-offs between patch quality and distance. Both models performed well when predicting visitation rates across broader scales. Using real agricultural landscapes and simulating habitat enhancements, we show that additional floral resources can have diverging effects on predicted crop visitation. When only co-flowering resources were added, optimally foraging bees concentrated in enhancements to the detriment of crop pollination. For both models, adding nesting resources increased crop visitation. Finally, the marginal effect of enhancements was greater in simple landscapes. Synthesis and applications. Model results help to identify the conditions under which habitat enhancements are most likely to increase pollination services in agriculture. Three design principles for pollinator habitat enhancement emerge: (a) enhancing only flowers can diminish services by distracting pollinators away from crops, (b) providing nesting resources is more likely to increase bee populations and crop visitation and (c) the benefit of enhancements will be greatest in landscapes that do not already contain abundant habitat.</p>},
  author       = {Nicholson, Charlie C. and Ricketts, Taylor H. and Koh, Insu and Smith, Henrik G. and Lonsdorf, Eric V. and Olsson, Ola},
  issn         = {0021-8901},
  language     = {eng},
  month        = {01},
  number       = {3},
  pages        = {618--628},
  publisher    = {John Wiley and Sons},
  series       = {Journal of Applied Ecology},
  title        = {Flowering resources distract pollinators from crops : Model predictions from landscape simulations},
  url          = {http://dx.doi.org/10.1111/1365-2664.13333},
  doi          = {10.1111/1365-2664.13333},
  volume       = {56},
  year         = {2019},
}